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Radiography
Showing 1-30 of 289 projects
Assessment of radiation dose and image quality in low-dose CT protocols for chest im...
Low-dose computed tomography (LDCT) protocols have emerged as a pivotal strategy to reduce patient radiation exposure in chest imaging while maintaining diagnos...
AI-assisted Dose Optimization in Pediatric CT Imaging using Low-Dose Protocols and N...
This study presents a comprehensive framework for reducing radiation exposure in pediatric computed tomography (CT) through AI-assisted dose optimization, integ...
Radiographic dosimetry optimization using AI-driven image quality assessment and ada...
Radiographic dosimetry optimization leveraging AI-driven image quality assessment (IQA) and adaptive exposure control (AEC) across computed tomography (CT) and ...
Development of a AI-assisted dual-energy CT protocol for enhanced detection of small...
This study presents the development and clinical evaluation of an AI-assisted dual-energy computed tomography (DECT) protocol designed to enhance detection and ...
Automated Deep Learning Framework for Low-Dose CT Image Denoising and Dose Reduction...
In response to the growing demand for diagnostic accuracy while minimizing radiation exposure, this study presents an automated deep learning framework designed...
Development and evaluation of artificial intelligence–assisted dose optimization a...
The study presents a comprehensive investigation into AI-assisted dose optimization and image quality enhancement for pediatric CT radiography, addressing the c...
Development and validation of an AI-assisted image quality scoring and dose optimiza...
This study presents the development and validation of an AI-assisted framework that simultaneously scores image quality and optimizes radiation dose in chest ra...
Evaluation of dose optimization strategies in pediatric radiography using iterative ...
This study investigates dose optimization strategies in pediatric radiography through the application of iterative reconstruction techniques to reduce radiation...
Optimization of radiation dose reduction in pediatric chest radiography using deep l...
This study presents a novel framework for reducing radiation dose in pediatric chest radiography through a deep learning–driven automated exposure control (AE...
Optimization of Cone-Beam Computed Tomography for Low-Dose Extremity Imaging...
This study investigates the optimization of cone-beam computed tomography (CBCT) for low-dose extremity imaging, addressing the balance between diagnostic image...
Development of a AI-assisted rib fracture detection system using chest X-ray radiogr...
This study presents the development and evaluation of an AI-assisted rib fracture detection system designed to assist radiographers in interpreting chest X-ray ...
Assessment of image quality and diagnostic accuracy in digital radiography using AI-...
This study investigates the impact of AI-based enhancement and artifact reduction techniques on image quality and diagnostic accuracy in digital radiography, ad...
Implementation of AI-assisted Dose Optimization in Pediatric Radiography: A Comparat...
Implementation of AI-assisted Dose Optimization in Pediatric Radiography explores how artificial intelligence can dynamically balance image quality and radiatio...
Evaluation of Radiation Dose Reduction Techniques in Pediatric Chest Radiography Usi...
This study investigates the efficacy and safety of intelligent image acquisition protocols (IIAP) in reducing radiation dose during pediatric chest radiography ...
Automated Detection and Classification of Vertebral Compression Fractures in CT Imag...
This study presents a robust artificial intelligence framework that automates the detection and classification of vertebral compression fractures (VCFs) in comp...
Optimization of Radiation Dose in Pediatric CT Imaging: A Dose Reduction Framework U...
This study presents a comprehensive framework to reduce radiation exposure in pediatric computed tomography (CT) by leveraging artificial intelligence (AI) for ...
Automated Dose Optimization and Image Quality Assessment in Pediatric Chest Radiogra...
Automated dose optimization and image quality assessment in pediatric chest radiography using deep learning addresses the critical balance between minimizing ra...
Breast Tomosynthesis Optimization Using AI-Assisted Image Reconstruction and Artifac...
Breast tomosynthesis presents a promising advancement over conventional 2D mammography by enabling improved lesion visibility through quasi-3D imaging, yet its ...
Advanced Iodinated Contrast Optimization and Image Reconstruction for Low-Dose Dynam...
This study investigates a novel framework for optimizing iodinated contrast administration and advancing image reconstruction techniques to enable high-quality,...
Evaluation of Dose Optimization Techniques in Digital Radiography for Pediatric Pati...
This study investigates the effectiveness of dose optimization techniques in digital radiography (DR) for pediatric patients, aiming to minimize radiation expos...
Optimization of Cone-Beam Computed Tomography Protocols for Low-Dose Pelvic Imaging ...
This study investigates the optimization of Cone-Beam Computed Tomography (CBCT) protocols to achieve reliable, high-quality pelvic imaging with substantially r...
Optimization of Image Quality and Radiation Dose in Digital Radiography using Deep L...
This study investigates the simultaneous enhancement of diagnostic image quality and reduction of patient radiation dose in digital radiography (DR) through the...
Development of an AI-Based Diagnostic System for Early Detection of Lung Diseases in...
Early detection of lung diseases such as pneumonia, tuberculosis, chronic obstructive pulmonary disease (COPD), and lung cancer significantly improves treatment...
Advancements in Artificial Intelligence for Enhanced Diagnostic Accuracy in Medical ...
The integration of artificial intelligence (AI) into medical radiography has revolutionized diagnostic practices by significantly enhancing accuracy, efficiency...
Development of AI-Driven Diagnostic Tool for Enhanced Detection of Pediatric Chest P...
The rapid advancement of artificial intelligence (AI) has opened new frontiers in medical imaging, particularly in the diagnosis of pediatric chest pathologies ...
Development of an AI-Assisted Diagnostic Tool for Enhanced Detection of Pulmonary Le...
The rapid advancement of artificial intelligence (AI) in medical imaging has opened new horizons in diagnostic radiology, particularly in the detection and anal...
Advancements in Digital Image Processing Techniques for Enhanced Diagnostic Accuracy...
Recent developments in digital image processing have significantly transformed the field of radiography, particularly in the diagnosis and management of thoraci...
Advanced AI-driven Diagnostic Imaging Analysis in Radiography...
The integration of advanced artificial intelligence (AI) algorithms into diagnostic imaging analysis represents a transformative approach in the field of radiog...
Advancements in Artificial Intelligence for Enhancing Diagnostic Accuracy in Chest R...
The rapid development of artificial intelligence (AI) technologies has significantly transformed the landscape of medical imaging, with radiography being a prim...
Advanced 3D Reconstruction Techniques in Medical Radiography for Improved Diagnostic...
The rapid evolution of medical imaging technology has significantly enhanced diagnostic capabilities, with advanced 3D reconstruction techniques emerging as a p...
